Linear discriminant analysis for the small sample size problem: an overview.
Alok SharmaKuldip K. PaliwalPublished in: Int. J. Mach. Learn. Cybern. (2015)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- small sample size
- feature extraction
- dimension reduction
- discriminant features
- support vector machine svm
- support vector
- feature space
- high dimensional data
- null space
- dealing with high dimensional data
- discriminative information
- principal components analysis
- subspace methods
- class separability
- linear discriminant
- subspace analysis
- multivariate statistical
- fisher criterion
- nonparametric discriminant analysis
- pattern recognition
- high dimensionality
- logistic regression
- signal processing
- scatter matrices
- data analysis
- scatter matrix
- qr decomposition